Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India.
Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Expert Rev Proteomics. 2021 Nov;18(11):995-1008. doi: 10.1080/14789450.2021.2011225. Epub 2021 Dec 6.
The sensitive, specific, fast, robust and noninvasive biomarkers for the evaluation of prostate cancer (PC) remain elusive in medical research. However, efforts are in full sway to investigate and resolve these puzzles for clinical practice. Advances in modern analytical techniques, sample processing, and the emergence of multiple omics approaches have created a great hope for the development of better detection modalities for PC. The objective of the present review is to provide a concise overview of the PC metabolomics-based potential discriminating molecules in urine samples using nuclear magnetic resonance spectroscopy and mass spectrometry.
A literature search was executed to find the studies reporting the noninvasive urine-based biomarkers for the diagnosis and prognosis of underlying disease. Most studies have extensivelyreported PC discriminating molecules with their respective controls. Additionally, pathophysiology and the treatment paradigm of PC are summarized and related to the insights underpinning the therapeutic intervention of PC.
With multi-centric, global, comprehensive omics approaches via either a non- or least-invasive bio-matrix may open new avenues of research for PC biomarker discovery, backed by a molecular mechanistic outline.
在医学研究中,用于评估前列腺癌(PC)的灵敏、特异、快速、稳健且非侵入性的生物标志物仍难以捉摸。然而,人们正在全力以赴地研究和解决这些临床实践中的难题。现代分析技术、样品处理的进步以及多种组学方法的出现,为 PC 的更好检测模式的发展带来了巨大的希望。本综述的目的是简要概述使用核磁共振光谱和质谱技术从尿液样本中基于代谢组学的 PC 潜在鉴别分子。
进行了文献检索,以查找报告用于诊断和预测潜在疾病的无创性尿液生物标志物的研究。大多数研究都广泛报道了具有各自对照的 PC 鉴别分子。此外,还总结了 PC 的病理生理学和治疗模式,并将其与 PC 治疗干预的基础见解联系起来。
通过非侵入性或最小侵入性生物基质进行多中心、全球性、全面的组学方法,可能会为 PC 生物标志物的发现开辟新的研究途径,为分子机制提供支持。